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AMCS
2010
146views Mathematics» more  AMCS 2010»
13 years 7 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan
TSP
2011
161views more  TSP 2011»
13 years 2 months ago
Mean-Square Error in Periodogram Approaches With Adaptive Windowing
Abstract—Modified periodogram approaches are nonparametric power spectral density (PSD) estimators. Here, we present a method for estimating the mean-square error (MSE) of these...
Soosan Beheshti, M. Ravan, J. P. Reilly, L. J. Tra...
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 7 days ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
32
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TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 1 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...